Si-Bone (SIBN) Change in Receivables (2017 - 2026)
Si-Bone's Change in Receivables was $302,000 in Q3 2026, down 86.5% from $2.23 million a year earlier but up 0.7% from the prior quarter.
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Analysis
Si-Bone (SIBN) Change in Receivables (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Si-Bone's Change in Receivables was $5.14 million through Sep 30, 2026, up 136.4% year-over-year; for FY2025, it came in at $3.03 million, down 48.2% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $5.84 million in FY2024 (+175.2%), $2.12 million in FY2023 (-67.2%), $6.48 million in FY2022 and $569,000 in FY2021 (-74.0%).
- Quarterly Change in Receivables has moved between -$2.11 million (Q2 2023) and $4.48 million (Q4 2022) over five years.
- Compared with a year earlier, Change in Receivables was higher in three of the last four quarters, with growth averaging 160.6%.
- The best year-over-year quarter for Change in Receivables over five years was Q3 2025 (growth of 692.2%); the worst was Q1 2024 (a decline of 90.3%).
- Per Business Quant data, SIBN's Change in Receivables in the three quarters before Q3 2026 was $300,000 (Q2 2026), $1.14 million (Q1 2026) and $3.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 476.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 133.00 Mn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 302,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 302,000.00 |
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 1.14 Mn |
| Dec 31, 2025 | 3.39 Mn |
| Sep 30, 2025 | 2.23 Mn |
| Jun 30, 2025 | -2.05 Mn |
| Mar 31, 2025 | -552,000.00 |
| Dec 31, 2024 | 2.54 Mn |
| Sep 30, 2024 | 282,000.00 |
| Jun 30, 2024 | 2.83 Mn |
| Mar 31, 2024 | 196,000.00 |
| Dec 31, 2023 | 2.47 Mn |
| Sep 30, 2023 | -256,000.00 |
| Jun 30, 2023 | -2.11 Mn |
| Mar 31, 2023 | 2.02 Mn |
| Dec 31, 2022 | 4.48 Mn |
| Sep 30, 2022 | 1.28 Mn |
| Jun 30, 2022 | 2.32 Mn |
| Mar 31, 2022 | -1.60 Mn |
| Dec 31, 2021 | 1.63 Mn |
API Access
Si-Bone Change in Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-receivables&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "SIBN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-receivables&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();